Machine Learning Engineering in Action by Ben Wilson

Machine Learning Engineering in Action by Ben Wilson

Machine Learning Engineering in Action lays out an approach to building deployable, maintainable production machine learning systems. You will adopt software development standards that deliver better code management, and make it easier to test, scale, and even reuse your machine learning code! You will learn how to plan and scope your project, manage cross-team logistics that avoid fatal communication failures, and design your code's architecture for improved resilience. You will even discover when not to use machine learning—and the alternative approaches that might be cheaper and more effective. When you're done working through this toolbox guide, you will be able to reliably deliver cost-effective solutions for organizations big and small alike. Following established processes and methodology maximizes the likelihood that your machine learning projects will survive and succeed for the long haul. By adopting standard, reproducible practices, your projects will be maintainable over time and easy for new team members to understand and adapt.

“Anice view on practical data science and machine learningGreat reading fornewbies, some interesting views for seasoned practitioners.” Johannes Verwijnen 

“Amust read for those looking to balance the planning and experimentationlifecycle.” Jesús Antonino Juárez Guerrero

“Apractical book to help engineers understand the workflow of machine learningprojects.” Xiangbo Mao

“Donot implement your ML model into production without reading this book!” Lokesh Kumar

Ben Wilson has worked as a professional data scientist for more than ten years. He currently works as a resident solutions architect at Databricks,where he focuses on machine learning production architecture with companies ranging from 5-person startups to global Fortune 100. Ben is the creator and lead developer of the Databricks Labs AutoML project, a Scala-and Python-based toolkit that simplifies machine learning feature engineering, model tuning, and pipeline-enabled modelling.

SKU	Nicht verfügbar
ISBN 13	9781617298714
ISBN 10	1617298719
Titel	Machine Learning Engineering in Action
Autor	Ben Wilson
Buchzustand	Nicht verfügbar
Bindungsart	Paperback
Verlag	Manning Publications
Erscheinungsjahr	2022-04-14
Seitenanzahl	300
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis	Nicht verfügbar